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Managing multi-tenant AI agent security with Amazon Bedrock AgentCore resource-based policies

3h ago· 9 min readen

Summary

This article explains how SaaS providers building AI-powered applications on Amazon Bedrock AgentCore can use resource-based policies to manage multi-tenant security requirements. It addresses the challenge of serving tenants with diverse needs—some requiring cross-account access from their own AWS accounts, others mandating traffic stay within a private VPC for regulatory compliance. The article details how AgentCore's resource-based policies provide centralized, resource-level control to manage these varied security requirements from a shared infrastructure.

Key quotes

· 4 pulled
Software as a service (SaaS) providers building AI-powered applications on Amazon Bedrock AgentCore often need to serve multiple tenants with distinct security requirements from a shared infrastructure.
Some tenants require cross-account access from their own Amazon Web Services (AWS) accounts, while others mandate that traffic stay within a private virtual private cloud (VPC) for regulatory compliance.
Without centralized resource-level control, managing these diverse requirements can be complex.
AgentCore supports resource-based policies, giving you centralized, resource-level control.
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Software as a service (SaaS) providers building AI-powered applications on Amazon Bedrock AgentCore often need to serve multiple tenants with distinct security requirements from a shared infrastructure. Some tenants require cross-account access from their

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